3 papers
stat.ML2017
Sampling and Reconstruction of Graph Signals via Weak Submodularity and Semidefinite Relaxation
Abolfazl Hashemi, Rasoul Shafipour, Haris Vikalo +1
We study the problem of sampling a bandlimited graph signal in the presence of noise, where the objective is to select a node subset of prescribed cardinality that minimizes the si…
math.SP2017
A Digraph Fourier Transform With Spread Frequency Components
Rasoul Shafipour, Ali Khodabakhsh, Gonzalo Mateos +1
We study the problem of constructing a graph Fourier transform (GFT) for directed graphs (digraphs), which decomposes graph signals into different modes of variation with respect t…
cs.SI2016
Network Topology Identification from Spectral Templates
Santiago Segarra, Antonio G. Marques, Gonzalo Mateos +1
Network topology inference is a cornerstone problem in statistical analyses of complex systems. In this context, the fresh look advocated here permeates benefits from convex optimi…